{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e2adecfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.interpolate import make_interp_spline\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ec9f3d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>年份</th>\n",
       "      <th>月份</th>\n",
       "      <th>销量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021</td>\n",
       "      <td>5月</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021</td>\n",
       "      <td>6月</td>\n",
       "      <td>198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021</td>\n",
       "      <td>7月</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021</td>\n",
       "      <td>8月</td>\n",
       "      <td>412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021</td>\n",
       "      <td>9月</td>\n",
       "      <td>506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021</td>\n",
       "      <td>10月</td>\n",
       "      <td>615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021</td>\n",
       "      <td>11月</td>\n",
       "      <td>789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021</td>\n",
       "      <td>12月</td>\n",
       "      <td>1021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022</td>\n",
       "      <td>1月</td>\n",
       "      <td>3782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022</td>\n",
       "      <td>2月</td>\n",
       "      <td>3215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2022</td>\n",
       "      <td>3月</td>\n",
       "      <td>2936</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      年份   月份    销量\n",
       "0   2021   5月   146\n",
       "1   2021   6月   198\n",
       "2   2021   7月   296\n",
       "3   2021   8月   412\n",
       "4   2021   9月   506\n",
       "5   2021  10月   615\n",
       "6   2021  11月   789\n",
       "7   2021  12月  1021\n",
       "8   2022   1月  3782\n",
       "9   2022   2月  3215\n",
       "10  2022   3月  2936"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='11 平滑折线图',usecols=\"B,C,D\",skiprows=1)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3324899c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time = data['月份']\n",
    "y = data['销量']  \n",
    "\n",
    "# 映射文字标签到数值坐标\n",
    "x_positions = range(len(time))\n",
    "x_values = np.array(x_positions)\n",
    "\n",
    "# 对x和y数据进行插值以生成平滑曲线\n",
    "x_new = np.linspace(x_values.min(), x_values.max(), 300)  # 生成新的x值用于绘制平滑曲线\n",
    "y_smooth = make_interp_spline(x_values, y, k=3)(x_new)  # 使用三次插值\n",
    "\n",
    "# 设置图形属性\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title('化妆品品类月度销量走势')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('销量')\n",
    "plt.grid(True)\n",
    "plt.xticks(x_values, time, rotation=45)  # 设置x轴刻度标签为文字标签，并旋转45度以便更好地显示\n",
    "\n",
    "# 绘制平滑折线图\n",
    "plt.plot(x_new, y_smooth, label='平滑折线', color='blue')\n",
    "plt.plot(x_values[np.where(y==max(y))[0][0]], max(y), 'ro')\n",
    "plt.text(x_values[np.where(y==max(y))[0][0]],max(y)+100,'%.2f'%max(y),ha='center',va='bottom',fontsize=10)\n",
    "\n",
    "matplotlib.pyplot.vlines(x_values[np.where(y==max(y))[0][0]],0,max(y), colors='red',linestyles='dashed')\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
